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Parallel High Utility Itemset Mining Algorithm on the Spark
In the field of efficient utility itemset mining, considering both internal and external utility values provides a more comprehensive approach...
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Accelerating Unsupervised Federated Graph Neural Networks via Semi-asynchronous Communication
Graph neural networks have shown excellent performance in many fields owing to their powerful processing ability of graph data. In recent years,...
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How Hypergraph-to-Graph Conversion Affects Cooperative Working Visualization: A Multi-metric Evaluation
It is commonplace to use hypergraphs to represent cooperative work since hypergraphs explicitly capture complex interactions and connections,...
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A Multi-behavior Recommendation Based on Disentangled Graph Convolutional Networks and Contrastive Learning
Traditional recommendation models typically rely on a single type of user-item interaction data, which presents a serious challenge due to data...
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TGPPN: A Transformer and Graph Neural Network Based Point Process Network Model
The Temporal Point Process (TPP) is applicable in various fields including healthcare, device failure prediction, and social media. It allows for the...
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FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform
Currently, the research on the fairness of recommender systems has expanded beyond considering only the interests of users and product providers....
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Visitors Vis: Interactive Mining of Suspected Medical Insurance Fraud Groups
As medical insurance continues to grow in size, the losses caused by medical insurance fraud cannot be underestimated. Current data mining and...
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Towards Distributed Graph Representation Learning
Distributed graph representation learning refers to the process of learning graph data representation in a distributed computing environment. In the...
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Improving Voice Style Conversion via Self-attention VAE with Feature Disentanglement
Voice conversion (VC) is a widely used technique in intelligent speech processing, that aims to modify the speaker’s information while preserving the...
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Explicit Coordination Based Multi-agent Reinforcement Learning for Intelligent Traffic Signal Control
Traffic signal control plays an important role in reducing urban traffic congestion. In complex traffic scenarios, coordinating phase signal control...
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Nonnegative Matrix Factorization Based on Topology-and-Attribute-Matching Degree for Community Detection
Community detection is widely used in network analysis, which seeks to divide network nodes into distinct communities based on the topology structure...
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ABCD-HN: An Artificial Network Benchmark for Community Detection on Heterogeneous Networks
Community detection is essential for identifying cohesive groups in complex networks. Artificial benchmarks are critical for evaluating community...
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Deep Q-Learning Based Circuit Breaking Method for Micro-services in Cloud Native Systems
More and more modern applications are being deployed on cloud-native systems. High concurrent requests that exceed the processing capacity lead to...
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Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning
Edge computing is a very good choice to solve the shortage of computing power of mobile devices (MD), the bandwidth resources and computing power of...
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Group Role Assignment with Trust Between Agents
As a vital methodology for collaboration problems, Role-Based Collaboration (RBC) consists of three essential stages: agent evaluation, Group Role...
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Enhance the Transferability from an Overfitting Perspective
Deep neural networks perform best on a variety of collaborative computing tasks, but they are very susceptible to adversarial perturbations....
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An Empirical Study on the Urgent Self-admitted Technical Debt
Technical Debt (TD) refers to the phenomenon of taking shortcuts to achieve short-term gains at the cost of higher maintenance effort in the future....
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Compactness and Separateness Driven Fuzzy Clustering Validity Index Called TLW
The design of validity index of fuzzy clustering has always been a historical problem in fuzzy clustering field. When the distribution of cluster...
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Advanced User Interactions
The Advanced User Interactions API in Selenium WebDriver provides a way to set up and perform complex user interactions, specifically those that...
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Testing AJAX
AJAX (Asynchronous JavaScript and XML) is widely used in websites nowadays (Gmail uses AJAX a lot). Let's look at an example first; see Figure 12-1.